Pandas Profiling Report

Dataset statistics

Number of variables	23
Number of observations	3678
Missing cells	6713
Missing cells (%)	7.9%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	689.6 KiB
Average record size in memory	192.0 B

Variable types

Categorical	10
Text	3
Numeric	10

Alerts

`store room` is highly imbalanced (55.7%)	Imbalance
`facing` has 1046 (28.4%) missing values	Missing
`super_built_up_area` has 1803 (49.0%) missing values	Missing
`built_up_area` has 1988 (54.1%) missing values	Missing
`carpet_area` has 1805 (49.1%) missing values	Missing
`area` is highly skewed (γ1 = 29.73497204)	Skewed
`built_up_area` is highly skewed (γ1 = 40.70657243)	Skewed
`carpet_area` is highly skewed (γ1 = 24.33971847)	Skewed
`floorNum` has 129 (3.5%) zeros	Zeros
`luxury_score` has 462 (12.6%) zeros	Zeros

Reproduction

Analysis started	2024-05-23 15:06:04.319707
Analysis finished	2024-05-23 15:06:12.351265
Duration	8.03 seconds
Software version	ydata-profiling v4.8.3
Download configuration	config.json

property_type
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	57.5 KiB

flat	2819
house	859

Length

Max length	5
Median length	4
Mean length	4.2335508
Min length	4

Characters and Unicode

Total characters	15571
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	house
2nd row	flat
3rd row	flat
4th row	house
5th row	flat

Common Values

Value	Count	Frequency (%)
flat	2819	76.6%
house	859	23.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
flat	2819	76.6%
house	859	23.4%

Most occurring characters

Value	Count	Frequency (%)
f	2819	18.1%
l	2819	18.1%
a	2819	18.1%
t	2819	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15571	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
f	2819	18.1%
l	2819	18.1%
a	2819	18.1%
t	2819	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15571	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
f	2819	18.1%
l	2819	18.1%
a	2819	18.1%
t	2819	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15571	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
f	2819	18.1%
l	2819	18.1%
a	2819	18.1%
t	2819	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

society
Text

Distinct	676
Distinct (%)	18.4%
Missing	1
Missing (%)	< 0.1%
Memory size	57.5 KiB

Length

Max length	49
Median length	39
Mean length	16.873538
Min length	1

Characters and Unicode

Total characters	62044
Distinct characters	41
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	308 ?
Unique (%)	8.4%

Sample

1st row	dlf city plots
2nd row	imperia the esfera
3rd row	alpha corp gurgaonone
4th row	independent
5th row	vatika sovereign next sector-82 a gurgaon

Value	Count	Frequency (%)
independent	491	5.1%
the	350	3.6%
dlf	220	2.3%
park	209	2.2%
city	166	1.7%
emaar	155	1.6%
global	154	1.6%
m3m	152	1.6%
signature	151	1.6%
heights	134	1.4%
Other values (783)	7499	77.5%

Most occurring characters

Value	Count	Frequency (%)
e	6713	10.8%
	6006	9.7%
a	5865	9.5%
r	4174	6.7%
n	4165	6.7%
i	3831	6.2%
t	3720	6.0%
s	3473	5.6%
l	2945	4.7%
o	2757	4.4%
Other values (31)	18395	29.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	55493	89.4%
Space Separator	6006	9.7%
Decimal Number	527	0.8%
Other Punctuation	10	< 0.1%
Dash Punctuation	8	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6713	12.1%
a	5865	10.6%
r	4174	7.5%
n	4165	7.5%
i	3831	6.9%
t	3720	6.7%
s	3473	6.3%
l	2945	5.3%
o	2757	5.0%
d	2489	4.5%
Other values (16)	15361	27.7%

Decimal Number

Value	Count	Frequency (%)
3	207	39.3%
2	82	15.6%
1	75	14.2%
6	56	10.6%
8	32	6.1%
4	19	3.6%
5	17	3.2%
0	13	2.5%
9	13	2.5%
7	13	2.5%

Other Punctuation

Value	Count	Frequency (%)
,	7	70.0%
/	2	20.0%
.	1	10.0%

Space Separator

Value	Count	Frequency (%)
	6006	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	55493	89.4%
Common	6551	10.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6713	12.1%
a	5865	10.6%
r	4174	7.5%
n	4165	7.5%
i	3831	6.9%
t	3720	6.7%
s	3473	6.3%
l	2945	5.3%
o	2757	5.0%
d	2489	4.5%
Other values (16)	15361	27.7%

Common

Value	Count	Frequency (%)
	6006	91.7%
3	207	3.2%
2	82	1.3%
1	75	1.1%
6	56	0.9%
8	32	0.5%
4	19	0.3%
5	17	0.3%
0	13	0.2%
9	13	0.2%
Other values (5)	31	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62044	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	6713	10.8%
	6006	9.7%
a	5865	9.5%
r	4174	6.7%
n	4165	6.7%
i	3831	6.2%
t	3720	6.0%
s	3473	5.6%
l	2945	4.7%
o	2757	4.4%
Other values (31)	18395	29.6%

sector
Text

Distinct	114
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Memory size	57.5 KiB

Length

Max length	26
Median length	9
Mean length	9.3140294
Min length	3

Characters and Unicode

Total characters	34257
Distinct characters	31
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	sector 26
2nd row	sector 37c
3rd row	sector 84
4th row	sector 110
5th row	sector 82a

Value	Count	Frequency (%)
sector	3449	46.7%
road	178	2.4%
sohna	166	2.2%
85	108	1.5%
102	107	1.4%
92	100	1.4%
69	93	1.3%
90	89	1.2%
65	87	1.2%
81	87	1.2%
Other values (107)	2916	39.5%

Most occurring characters

Value	Count	Frequency (%)
o	3804	11.1%
	3702	10.8%
s	3694	10.8%
r	3694	10.8%
e	3543	10.3%
c	3500	10.2%
t	3460	10.1%
1	1076	3.1%
0	802	2.3%
8	780	2.3%
Other values (21)	6202	18.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	23292	68.0%
Decimal Number	7263	21.2%
Space Separator	3702	10.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	3804	16.3%
s	3694	15.9%
r	3694	15.9%
e	3543	15.2%
c	3500	15.0%
t	3460	14.9%
a	698	3.0%
d	249	1.1%
n	225	1.0%
h	203	0.9%
Other values (10)	222	1.0%

Decimal Number

Value	Count	Frequency (%)
1	1076	14.8%
0	802	11.0%
8	780	10.7%
9	764	10.5%
6	740	10.2%
7	682	9.4%
2	676	9.3%
3	666	9.2%
5	593	8.2%
4	484	6.7%

Space Separator

Value	Count	Frequency (%)
	3702	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	23292	68.0%
Common	10965	32.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	3804	16.3%
s	3694	15.9%
r	3694	15.9%
e	3543	15.2%
c	3500	15.0%
t	3460	14.9%
a	698	3.0%
d	249	1.1%
n	225	1.0%
h	203	0.9%
Other values (10)	222	1.0%

Common

Value	Count	Frequency (%)
	3702	33.8%
1	1076	9.8%
0	802	7.3%
8	780	7.1%
9	764	7.0%
6	740	6.7%
7	682	6.2%
2	676	6.2%
3	666	6.1%
5	593	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	34257	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	3804	11.1%
	3702	10.8%
s	3694	10.8%
r	3694	10.8%
e	3543	10.3%
c	3500	10.2%
t	3460	10.1%
1	1076	3.1%
0	802	2.3%
8	780	2.3%
Other values (21)	6202	18.1%

price
Real number (ℝ)

Distinct	473
Distinct (%)	12.9%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	2.5330811

Minimum	0.07
Maximum	31.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0.07
5-th percentile	0.37
Q1	0.95
median	1.52
Q3	2.75
95-th percentile	8.5
Maximum	31.5
Range	31.43
Interquartile range (IQR)	1.8

Descriptive statistics

Standard deviation	2.9804249
Coefficient of variation (CV)	1.1766007
Kurtosis	14.935884
Mean	2.5330811
Median Absolute Deviation (MAD)	0.72
Skewness	3.2794161
Sum	9273.61
Variance	8.8829326
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.25	80	2.2%
1.5	64	1.7%
1.2	64	1.7%
0.9	63	1.7%
1.1	62	1.7%
1.4	60	1.6%
1.3	57	1.5%
0.95	52	1.4%
2	52	1.4%
1.6	48	1.3%
Other values (463)	3059	83.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.07	1	< 0.1%
0.16	1	< 0.1%
0.17	1	< 0.1%
0.19	1	< 0.1%
0.2	8	0.2%
0.21	6	0.2%
0.22	8	0.2%
0.23	1	< 0.1%
0.24	6	0.2%
0.25	11	0.3%

Value	Count	Frequency (%)
31.5	1	< 0.1%
27.5	1	< 0.1%
26	2	0.1%
25	1	< 0.1%
24	1	< 0.1%
23	1	< 0.1%
22	1	< 0.1%
20	3	0.1%
19.5	2	0.1%
19	3	0.1%

price_per_sqft
Real number (ℝ)

Distinct	2651
Distinct (%)	72.4%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	13890.884

Minimum	4
Maximum	600000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	4
5-th percentile	4716
Q1	6818
median	9020
Q3	13878
95-th percentile	33333
Maximum	600000
Range	599996
Interquartile range (IQR)	7060

Descriptive statistics

Standard deviation	23207.147
Coefficient of variation (CV)	1.6706747
Kurtosis	186.97513
Mean	13890.884
Median Absolute Deviation (MAD)	2793
Skewness	11.438605
Sum	50854525
Variance	5.3857169 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	27	0.7%
8000	19	0.5%
5000	17	0.5%
12500	14	0.4%
11111	13	0.4%
6666	13	0.4%
22222	13	0.4%
7500	12	0.3%
8333	12	0.3%
6000	11	0.3%
Other values (2641)	3510	95.4%
(Missing)	17	0.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	< 0.1%
5	1	< 0.1%
7	1	< 0.1%
9	1	< 0.1%
53	1	< 0.1%
57	1	< 0.1%
58	2	0.1%
60	1	< 0.1%
61	1	< 0.1%
79	1	< 0.1%

Value	Count	Frequency (%)
600000	1	< 0.1%
400000	1	< 0.1%
315789	1	< 0.1%
308333	1	< 0.1%
290948	1	< 0.1%
283333	1	< 0.1%
266666	1	< 0.1%
261194	1	< 0.1%
245398	1	< 0.1%
241666	1	< 0.1%

area
Real number (ℝ)

SKEWED

Distinct	1312
Distinct (%)	35.8%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	2887.6908

Minimum	50
Maximum	875000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	50
5-th percentile	519
Q1	1230
median	1733
Q3	2300
95-th percentile	4246
Maximum	875000
Range	874950
Interquartile range (IQR)	1070

Descriptive statistics

Standard deviation	23164.373
Coefficient of variation (CV)	8.0217637
Kurtosis	942.28488
Mean	2887.6908
Median Absolute Deviation (MAD)	533
Skewness	29.734972
Sum	10571836
Variance	5.3658819 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	54	1.5%
1350	48	1.3%
1800	47	1.3%
3240	43	1.2%
1950	43	1.2%
2700	39	1.1%
900	38	1.0%
2000	33	0.9%
2250	25	0.7%
2400	23	0.6%
Other values (1302)	3268	88.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
50	4	0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	2	0.1%
61	1	< 0.1%
67	2	0.1%
70	1	< 0.1%
72	1	< 0.1%
76	1	< 0.1%

Value	Count	Frequency (%)
875000	1	< 0.1%
642857	1	< 0.1%
620000	1	< 0.1%
566667	1	< 0.1%
215517	1	< 0.1%
98978	1	< 0.1%
82781	1	< 0.1%
65517	2	0.1%
65261	1	< 0.1%
58228	1	< 0.1%

areaWithType
Text

Distinct	2355
Distinct (%)	64.0%
Missing	0
Missing (%)	0.0%
Memory size	57.5 KiB

Length

Max length	124
Median length	119
Mean length	54.230016
Min length	12

Characters and Unicode

Total characters	199458
Distinct characters	35
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1849 ?
Unique (%)	50.3%

Sample

1st row	Plot area 360(301.01 sq.m.)
2nd row	Super Built up area 1815(168.62 sq.m.)Built Up area: 1400 sq.ft. (130.06 sq.m.)Carpet area: 1270 sq.ft. (117.99 sq.m.)
3rd row	Super Built up area 1963(182.37 sq.m.)Carpet area: 1700 sq.ft. (157.94 sq.m.)
4th row	Built Up area: 500 (46.45 sq.m.)
5th row	Super Built up area 4350(404.13 sq.m.)Carpet area: 3480 sq.ft. (323.3 sq.m.)

Value	Count	Frequency (%)
area	5574	18.5%
sq.m	3656	12.1%
up	3020	10.0%
built	2316	7.7%
super	1875	6.2%
sq.ft	1751	5.8%
sq.m.)carpet	1185	3.9%
sq.m.)built	702	2.3%
carpet	684	2.3%
plot	681	2.3%
Other values (2846)	8702	28.9%

Most occurring characters

Value	Count	Frequency (%)
	26468	13.3%
.	20393	10.2%
a	13157	6.6%
r	9458	4.7%
e	9322	4.7%
1	9205	4.6%
s	7568	3.8%
q	7432	3.7%
t	7325	3.7%
u	6770	3.4%
Other values (25)	82360	41.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	82770	41.5%
Decimal Number	47143	23.6%
Space Separator	26468	13.3%
Other Punctuation	23411	11.7%
Uppercase Letter	8594	4.3%
Close Punctuation	5536	2.8%
Open Punctuation	5536	2.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	13157	15.9%
r	9458	11.4%
e	9322	11.3%
s	7568	9.1%
q	7432	9.0%
t	7325	8.8%
u	6770	8.2%
p	6768	8.2%
m	5545	6.7%
l	3701	4.5%
Other values (5)	5724	6.9%

Decimal Number

Value	Count	Frequency (%)
1	9205	19.5%
0	6629	14.1%
2	5688	12.1%
5	4718	10.0%
3	3962	8.4%
4	3712	7.9%
6	3674	7.8%
7	3254	6.9%
8	3157	6.7%
9	3144	6.7%

Uppercase Letter

Value	Count	Frequency (%)
B	3020	35.1%
S	1875	21.8%
C	1873	21.8%
U	1145	13.3%
P	681	7.9%

Other Punctuation

Value	Count	Frequency (%)
.	20393	87.1%
:	3018	12.9%

Space Separator

Value	Count	Frequency (%)
	26468	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	5536	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	5536	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108094	54.2%
Latin	91364	45.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	13157	14.4%
r	9458	10.4%
e	9322	10.2%
s	7568	8.3%
q	7432	8.1%
t	7325	8.0%
u	6770	7.4%
p	6768	7.4%
m	5545	6.1%
l	3701	4.1%
Other values (10)	14318	15.7%

Common

Value	Count	Frequency (%)
	26468	24.5%
.	20393	18.9%
1	9205	8.5%
0	6629	6.1%
2	5688	5.3%
)	5536	5.1%
(	5536	5.1%
5	4718	4.4%
3	3962	3.7%
4	3712	3.4%
Other values (5)	16247	15.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	199458	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	26468	13.3%
.	20393	10.2%
a	13157	6.6%
r	9458	4.7%
e	9322	4.7%
1	9205	4.6%
s	7568	3.8%
q	7432	3.7%
t	7325	3.7%
u	6770	3.4%
Other values (25)	82360	41.3%

bedRoom
Real number (ℝ)

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.3597064

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.8975034
Coefficient of variation (CV)	0.5647825
Kurtosis	18.215499
Mean	3.3597064
Median Absolute Deviation (MAD)	1
Skewness	3.4853698
Sum	12357
Variance	3.600519
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1496	40.7%
2	943	25.6%
4	660	17.9%
5	210	5.7%
1	124	3.4%
6	74	2.0%
9	41	1.1%
8	30	0.8%
7	28	0.8%
12	28	0.8%
Other values (9)	44	1.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	124	3.4%
2	943	25.6%
3	1496	40.7%
4	660	17.9%
5	210	5.7%
6	74	2.0%
7	28	0.8%
8	30	0.8%
9	41	1.1%
10	20	0.5%

Value	Count	Frequency (%)
21	1	< 0.1%
20	1	< 0.1%
19	2	0.1%
18	2	0.1%
16	12	0.3%
14	1	< 0.1%
13	4	0.1%
12	28	0.8%
11	1	< 0.1%
10	20	0.5%

bathroom
Real number (ℝ)

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4241436

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.9479448
Coefficient of variation (CV)	0.56888526
Kurtosis	17.544566
Mean	3.4241436
Median Absolute Deviation (MAD)	1
Skewness	3.2490529
Sum	12594
Variance	3.794489
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1077	29.3%
2	1048	28.5%
4	820	22.3%
5	294	8.0%
1	156	4.2%
6	117	3.2%
9	41	1.1%
7	40	1.1%
8	25	0.7%
12	22	0.6%
Other values (9)	38	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	156	4.2%
2	1048	28.5%
3	1077	29.3%
4	820	22.3%
5	294	8.0%
6	117	3.2%
7	40	1.1%
8	25	0.7%
9	41	1.1%
10	9	0.2%

Value	Count	Frequency (%)
21	1	< 0.1%
20	3	0.1%
18	4	0.1%
17	3	0.1%
16	8	0.2%
14	2	0.1%
13	4	0.1%
12	22	0.6%
11	4	0.1%
10	9	0.2%

balcony
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	57.5 KiB

3+	1172
3	1074
2	885
1	365
0	182

Length

Max length	2
Median length	1
Mean length	1.3186514
Min length	1

Characters and Unicode

Total characters	4850
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	3+
3rd row	3
4th row	0
5th row	3

Common Values

Value	Count	Frequency (%)
3+	1172	31.9%
3	1074	29.2%
2	885	24.1%
1	365	9.9%
0	182	4.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	2246	61.1%
2	885	24.1%
1	365	9.9%
0	182	4.9%

Most occurring characters

Value	Count	Frequency (%)
3	2246	46.3%
+	1172	24.2%
2	885	18.2%
1	365	7.5%
0	182	3.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	75.8%
Math Symbol	1172	24.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	2246	61.1%
2	885	24.1%
1	365	9.9%
0	182	4.9%

Math Symbol

Value	Count	Frequency (%)
+	1172	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4850	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	2246	46.3%
+	1172	24.2%
2	885	18.2%
1	365	7.5%
0	182	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4850	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	2246	46.3%
+	1172	24.2%
2	885	18.2%
1	365	7.5%
0	182	3.8%

floorNum
Real number (ℝ)

ZEROS

Distinct	43
Distinct (%)	1.2%
Missing	19
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	6.7993987

Minimum	0
Maximum	51
Zeros	129
Zeros (%)	3.5%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	5
Q3	10
95-th percentile	18
Maximum	51
Range	51
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	6.0120336
Coefficient of variation (CV)	0.88420078
Kurtosis	4.5142084
Mean	6.7993987
Median Absolute Deviation (MAD)	3
Skewness	1.693111
Sum	24879
Variance	36.144549
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
3	498	13.5%
2	493	13.4%
1	351	9.5%
4	316	8.6%
8	195	5.3%
6	183	5.0%
10	179	4.9%
7	176	4.8%
5	169	4.6%
9	161	4.4%
Other values (33)	938	25.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	129	3.5%
1	351	9.5%
2	493	13.4%
3	498	13.5%
4	316	8.6%
5	169	4.6%
6	183	5.0%
7	176	4.8%
8	195	5.3%
9	161	4.4%

Value	Count	Frequency (%)
51	1	< 0.1%
45	1	< 0.1%
44	1	< 0.1%
43	2	0.1%
40	1	< 0.1%
39	2	0.1%
38	1	< 0.1%
35	2	0.1%
34	2	0.1%
33	4	0.1%

facing
Categorical

MISSING

Distinct	8
Distinct (%)	0.3%
Missing	1046
Missing (%)	28.4%
Memory size	57.5 KiB

North-East	623
East	623
North	387
West	249
South	231
Other values (3)	519

Length

Max length	10
Median length	5
Mean length	6.8381459
Min length	4

Characters and Unicode

Total characters	17998
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	North-East
2nd row	North-West
3rd row	South-East
4th row	East
5th row	North-East

Common Values

Value	Count	Frequency (%)
North-East	623	16.9%
East	623	16.9%
North	387	10.5%
West	249	6.8%
South	231	6.3%
North-West	193	5.2%
South-East	173	4.7%
South-West	153	4.2%
(Missing)	1046	28.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
north-east	623	23.7%
east	623	23.7%
north	387	14.7%
west	249	9.5%
south	231	8.8%
north-west	193	7.3%
south-east	173	6.6%
south-west	153	5.8%

Most occurring characters

Value	Count	Frequency (%)
t	3774	21.0%
s	2014	11.2%
o	1760	9.8%
h	1760	9.8%
E	1419	7.9%
a	1419	7.9%
N	1203	6.7%
r	1203	6.7%
-	1142	6.3%
W	595	3.3%
Other values (3)	1709	9.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13082	72.7%
Uppercase Letter	3774	21.0%
Dash Punctuation	1142	6.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	3774	28.8%
s	2014	15.4%
o	1760	13.5%
h	1760	13.5%
a	1419	10.8%
r	1203	9.2%
e	595	4.5%
u	557	4.3%

Uppercase Letter

Value	Count	Frequency (%)
E	1419	37.6%
N	1203	31.9%
W	595	15.8%
S	557	14.8%

Dash Punctuation

Value	Count	Frequency (%)
-	1142	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16856	93.7%
Common	1142	6.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	3774	22.4%
s	2014	11.9%
o	1760	10.4%
h	1760	10.4%
E	1419	8.4%
a	1419	8.4%
N	1203	7.1%
r	1203	7.1%
W	595	3.5%
e	595	3.5%
Other values (2)	1114	6.6%

Common

Value	Count	Frequency (%)
-	1142	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17998	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	3774	21.0%
s	2014	11.2%
o	1760	9.8%
h	1760	9.8%
E	1419	7.9%
a	1419	7.9%
N	1203	6.7%
r	1203	6.7%
-	1142	6.3%
W	595	3.3%
Other values (3)	1709	9.5%

agePossession
Categorical

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	57.5 KiB

Relatively New	1646
New Property	594
Moderately Old	563
Undefined	306
Old Property	303

Length

Max length	18
Median length	14
Mean length	13.385536
Min length	9

Characters and Unicode

Total characters	49232
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Moderately Old
2nd row	Relatively New
3rd row	Relatively New
4th row	Undefined
5th row	Under Construction

Common Values

Value	Count	Frequency (%)
Relatively New	1646	44.8%
New Property	594	16.2%
Moderately Old	563	15.3%
Undefined	306	8.3%
Old Property	303	8.2%
Under Construction	266	7.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
new	2240	31.8%
relatively	1646	23.3%
property	897	12.7%
old	866	12.3%
moderately	563	8.0%
undefined	306	4.3%
under	266	3.8%
construction	266	3.8%

Most occurring characters

Value	Count	Frequency (%)
e	8433	17.1%
l	4721	9.6%
t	3638	7.4%
	3372	6.8%
y	3106	6.3%
r	2889	5.9%
d	2307	4.7%
N	2240	4.5%
w	2240	4.5%
i	2218	4.5%
Other values (15)	14068	28.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	38810	78.8%
Uppercase Letter	7050	14.3%
Space Separator	3372	6.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	8433	21.7%
l	4721	12.2%
t	3638	9.4%
y	3106	8.0%
r	2889	7.4%
d	2307	5.9%
w	2240	5.8%
i	2218	5.7%
a	2209	5.7%
o	1992	5.1%
Other values (7)	5057	13.0%

Uppercase Letter

Value	Count	Frequency (%)
N	2240	31.8%
R	1646	23.3%
P	897	12.7%
O	866	12.3%
U	572	8.1%
M	563	8.0%
C	266	3.8%

Space Separator

Value	Count	Frequency (%)
	3372	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	45860	93.2%
Common	3372	6.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	8433	18.4%
l	4721	10.3%
t	3638	7.9%
y	3106	6.8%
r	2889	6.3%
d	2307	5.0%
N	2240	4.9%
w	2240	4.9%
i	2218	4.8%
a	2209	4.8%
Other values (14)	11859	25.9%

Common

Value	Count	Frequency (%)
	3372	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	49232	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	8433	17.1%
l	4721	9.6%
t	3638	7.4%
	3372	6.8%
y	3106	6.3%
r	2889	5.9%
d	2307	4.7%
N	2240	4.5%
w	2240	4.5%
i	2218	4.5%
Other values (15)	14068	28.6%

super_built_up_area
Real number (ℝ)

MISSING

Distinct	593
Distinct (%)	31.6%
Missing	1803
Missing (%)	49.0%
Infinite	0
Infinite (%)	0.0%
Mean	1925.2376

Minimum	89
Maximum	10000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	89
5-th percentile	767
Q1	1479.5
median	1828
Q3	2215
95-th percentile	3185
Maximum	10000
Range	9911
Interquartile range (IQR)	735.5

Descriptive statistics

Standard deviation	764.17218
Coefficient of variation (CV)	0.39692356
Kurtosis	10.349191
Mean	1925.2376
Median Absolute Deviation (MAD)	372
Skewness	1.8364563
Sum	3609820.5
Variance	583959.12
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	37	1.0%
1950	37	1.0%
2000	25	0.7%
1578	25	0.7%
1640	22	0.6%
2150	22	0.6%
1900	19	0.5%
2408	19	0.5%
1930	18	0.5%
2812	17	0.5%
Other values (583)	1634	44.4%
(Missing)	1803	49.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
89	1	< 0.1%
145	1	< 0.1%
161	1	< 0.1%
215	1	< 0.1%
216	1	< 0.1%
325	1	< 0.1%
340	1	< 0.1%
352	1	< 0.1%
380	1	< 0.1%
406	1	< 0.1%

Value	Count	Frequency (%)
10000	1	< 0.1%
6926	1	< 0.1%
6000	1	< 0.1%
5800	2	0.1%
5514	1	< 0.1%
5350	2	0.1%
5200	2	0.1%
4890	1	< 0.1%
4857	1	< 0.1%
4848	2	0.1%

built_up_area
Real number (ℝ)

MISSING SKEWED

Distinct	644
Distinct (%)	38.1%
Missing	1988
Missing (%)	54.1%
Infinite	0
Infinite (%)	0.0%
Mean	2379.5858

Minimum	2
Maximum	737147
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	2
5-th percentile	240.45
Q1	1100
median	1650
Q3	2400
95-th percentile	4691
Maximum	737147
Range	737145
Interquartile range (IQR)	1300

Descriptive statistics

Standard deviation	17942.88
Coefficient of variation (CV)	7.5403375
Kurtosis	1667.8704
Mean	2379.5858
Median Absolute Deviation (MAD)	650
Skewness	40.706572
Sum	4021500
Variance	3.2194695 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1800	41	1.1%
3240	37	1.0%
1900	34	0.9%
1350	33	0.9%
2700	33	0.9%
900	28	0.8%
1600	26	0.7%
2000	24	0.7%
1300	24	0.7%
1700	23	0.6%
Other values (634)	1387	37.7%
(Missing)	1988	54.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	< 0.1%
14	1	< 0.1%
30	1	< 0.1%
33	1	< 0.1%
50	3	0.1%
53	1	< 0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	5	0.1%

Value	Count	Frequency (%)
737147	1	< 0.1%
13500	1	< 0.1%
11286	1	< 0.1%
9500	1	< 0.1%
9000	7	0.2%
8775	1	< 0.1%
8286	1	< 0.1%
8067.8	1	< 0.1%
8000	1	< 0.1%
7500	2	0.1%

carpet_area
Real number (ℝ)

MISSING SKEWED

Distinct	733
Distinct (%)	39.1%
Missing	1805
Missing (%)	49.1%
Infinite	0
Infinite (%)	0.0%
Mean	2528.1194

Minimum	15
Maximum	607936
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	15
5-th percentile	350
Q1	837
median	1300
Q3	1790
95-th percentile	2950
Maximum	607936
Range	607921
Interquartile range (IQR)	953

Descriptive statistics

Standard deviation	22793.792
Coefficient of variation (CV)	9.0161059
Kurtosis	604.86092
Mean	2528.1194
Median Absolute Deviation (MAD)	475
Skewness	24.339718
Sum	4735167.6
Variance	5.1955696 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1400	42	1.1%
1600	35	1.0%
1800	35	1.0%
1200	31	0.8%
1500	29	0.8%
1650	28	0.8%
1350	27	0.7%
1300	23	0.6%
1450	22	0.6%
1000	22	0.6%
Other values (723)	1579	42.9%
(Missing)	1805	49.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
15	1	< 0.1%
33	1	< 0.1%
48	1	< 0.1%
50	1	< 0.1%
59	1	< 0.1%
60	1	< 0.1%
66	1	< 0.1%
72	1	< 0.1%
76.44	3	0.1%
77.31	1	< 0.1%

Value	Count	Frequency (%)
607936	1	< 0.1%
569243	1	< 0.1%
514396	1	< 0.1%
64529	1	< 0.1%
64412	1	< 0.1%
58141	1	< 0.1%
54917	1	< 0.1%
48811	1	< 0.1%
45966	1	< 0.1%
34401	1	< 0.1%

study room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	57.5 KiB

0	2973
1	705

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	2973	80.8%
1	705	19.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2973	80.8%
1	705	19.2%

Most occurring characters

Value	Count	Frequency (%)
0	2973	80.8%
1	705	19.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2973	80.8%
1	705	19.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3678	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2973	80.8%
1	705	19.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3678	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2973	80.8%
1	705	19.2%

servant room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	57.5 KiB

0	2350
1	1328

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	2350	63.9%
1	1328	36.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2350	63.9%
1	1328	36.1%

Most occurring characters

Value	Count	Frequency (%)
0	2350	63.9%
1	1328	36.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2350	63.9%
1	1328	36.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	3678	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2350	63.9%
1	1328	36.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3678	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2350	63.9%
1	1328	36.1%

store room
Categorical

IMBALANCE

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	57.5 KiB

0	3340
1	338

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

Most occurring characters

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3678	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3678	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

pooja room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	57.5 KiB

0	3022
1	656

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3022	82.2%
1	656	17.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3022	82.2%
1	656	17.8%

Most occurring characters

Value	Count	Frequency (%)
0	3022	82.2%
1	656	17.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3022	82.2%
1	656	17.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	3678	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3022	82.2%
1	656	17.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3678	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3022	82.2%
1	656	17.8%

others
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	57.5 KiB

0	3273
1	405

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3273	89.0%
1	405	11.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3273	89.0%
1	405	11.0%

Most occurring characters

Value	Count	Frequency (%)
0	3273	89.0%
1	405	11.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3273	89.0%
1	405	11.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3678	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3273	89.0%
1	405	11.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3678	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3273	89.0%
1	405	11.0%

furnishing_type
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	57.5 KiB

1	2405
2	1064
0	209

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	1
4th row	1
5th row	2

Common Values

Value	Count	Frequency (%)
1	2405	65.4%
2	1064	28.9%
0	209	5.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	2405	65.4%
2	1064	28.9%
0	209	5.7%

Most occurring characters

Value	Count	Frequency (%)
1	2405	65.4%
2	1064	28.9%
0	209	5.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	2405	65.4%
2	1064	28.9%
0	209	5.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	3678	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	2405	65.4%
2	1064	28.9%
0	209	5.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3678	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	2405	65.4%
2	1064	28.9%
0	209	5.7%

luxury_score
Real number (ℝ)

ZEROS

Distinct	161
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	71.503535

Minimum	0
Maximum	174
Zeros	462
Zeros (%)	12.6%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	31
median	59
Q3	110
95-th percentile	174
Maximum	174
Range	174
Interquartile range (IQR)	79

Descriptive statistics

Standard deviation	53.054919
Coefficient of variation (CV)	0.74199016
Kurtosis	-0.8797416
Mean	71.503535
Median Absolute Deviation (MAD)	38
Skewness	0.45948542
Sum	262990
Variance	2814.8244
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	462	12.6%
49	348	9.5%
174	195	5.3%
44	60	1.6%
165	55	1.5%
38	55	1.5%
72	52	1.4%
60	47	1.3%
37	46	1.3%
42	45	1.2%
Other values (151)	2313	62.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	462	12.6%
5	6	0.2%
6	6	0.2%
7	41	1.1%
8	30	0.8%
9	9	0.2%
12	6	0.2%
13	10	0.3%
14	12	0.3%
15	43	1.2%

Value	Count	Frequency (%)
174	195	5.3%
169	1	< 0.1%
168	9	0.2%
167	21	0.6%
166	10	0.3%
165	55	1.5%
161	3	0.1%
160	28	0.8%
159	23	0.6%
158	34	0.9%

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	store room	pooja room	furnishing_type	luxury_score
0	house	dlf city plots	sector 26	12.50	38580.0	3240.0	Plot area 360(301.01 sq.m.)	4	5	2	2.0	North-East	Moderately Old	NaN	3240.0	NaN	1	1	0	0	2	121
1	flat	imperia the esfera	sector 37c	0.99	5454.0	1815.0	Super Built up area 1815(168.62 sq.m.)Built Up area: 1400 sq.ft. (130.06 sq.m.)Carpet area: 1270 sq.ft. (117.99 sq.m.)	3	5	3+	5.0	North-West	Relatively New	1815.0	1400.0	1270.00	0	1	0	0	1	49
2	flat	alpha corp gurgaonone	sector 84	1.49	7590.0	1963.0	Super Built up area 1963(182.37 sq.m.)Carpet area: 1700 sq.ft. (157.94 sq.m.)	3	3	3	6.0	South-East	Relatively New	1963.0	NaN	1700.00	0	1	0	0	1	28
3	house	independent	sector 110	0.34	6800.0	500.0	Built Up area: 500 (46.45 sq.m.)	1	1	0	1.0	NaN	Undefined	NaN	500.0	NaN	0	0	0	0	1	0
4	flat	vatika sovereign next sector-82 a gurgaon	sector 82a	2.91	6700.0	4343.0	Super Built up area 4350(404.13 sq.m.)Carpet area: 3480 sq.ft. (323.3 sq.m.)	4	4	3	6.0	East	Under Construction	4350.0	NaN	3480.00	1	1	1	0	2	79
5	flat	indiabulls enigma	sector 110	4.00	9851.0	4061.0	Built Up area: 3350 (311.23 sq.m.)	4	4	3	17.0	NaN	New Property	NaN	3350.0	NaN	0	0	0	0	1	59
6	house	independent	sector 31	3.50	24155.0	1449.0	Plot area 161(134.62 sq.m.)	4	4	3	2.0	North-East	Old Property	NaN	1449.0	NaN	0	0	1	0	2	70
7	flat	signature global city 37d ph 2	sector 37d	1.10	8148.0	1350.0	Carpet area: 1350 (125.42 sq.m.)	3	3	1	2.0	North	Under Construction	NaN	NaN	1350.00	0	0	0	1	1	30
8	flat	mapsko mount ville	sector 79	1.30	8024.0	1620.0	Super Built up area 1620(150.5 sq.m.)Carpet area: 863.91 sq.ft. (80.26 sq.m.)	3	3	3+	1.0	North-East	Relatively New	1620.0	NaN	863.91	0	0	0	0	2	140
9	house	sushant lok 1 builder floors	sector 43	1.95	10077.0	1935.0	Plot area 215(179.77 sq.m.)	3	4	3+	4.0	West	New Property	NaN	1935.0	NaN	0	1	0	0	2	78

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	pooja room	others	furnishing_type	luxury_score
3793	flat	central park resorts	sector 48	11.25	28266.0	3980.0	Carpet area: 3980 (369.75 sq.m.)	4	5	3+	2.0	North-West	Relatively New	NaN	NaN	3980.0	0	1	1	0	1	45
3794	flat	suncity vatsal valley	gwal pahari	1.00	13340.0	750.0	Carpet area: 750 (69.68 sq.m.)	2	2	2	3.0	NaN	New Property	NaN	NaN	750.0	0	0	0	0	2	13
3795	house	nul	sector 25	9.50	33404.0	2844.0	Plot area 316(264.22 sq.m.)	9	9	3+	3.0	North-West	Old Property	NaN	2844.0	NaN	0	0	0	1	1	81
3796	flat	espire south	sector 68	1.32	9050.0	1459.0	Built Up area: 1460 (135.64 sq.m.)	2	2	2	9.0	NaN	New Property	NaN	1460.0	NaN	0	0	0	0	1	0
3797	flat	trisara our homes 3	sohna road	0.36	5980.0	602.0	Super Built up area 602(55.93 sq.m.)Carpet area: 450 sq.ft. (41.81 sq.m.)	2	2	1	1.0	NaN	New Property	602.0	NaN	450.0	0	0	0	0	1	45
3798	flat	corona optus	sector 37c	1.25	7090.0	1763.0	Super Built up area 1763(163.79 sq.m.)Built Up area: 1350 sq.ft. (125.42 sq.m.)Carpet area: 1234 sq.ft. (114.64 sq.m.)	3	3	3	4.0	North-West	Relatively New	1763.0	1350.0	1234.0	0	0	0	1	1	49
3799	flat	sare crescent parc	sector 92	0.50	5000.0	1000.0	Super Built up area 1000(92.9 sq.m.)	2	2	2	2.0	NaN	Relatively New	1000.0	NaN	NaN	0	0	0	1	1	72
3800	house	raj villas	sector 52	8.00	25543.0	3132.0	Carpet area: 348 (290.97 sq.m.)	6	5	3+	4.0	East	Undefined	NaN	NaN	348.0	0	0	0	0	1	0
3801	flat	project krishna colony	sector 7	0.36	5142.0	700.0	Built Up area: 700 (65.03 sq.m.)	2	2	1	0.0	NaN	Relatively New	NaN	700.0	NaN	0	0	0	0	1	0
3802	house	independent	sector 46	6.50	27461.0	2367.0	Plot area 263(219.9 sq.m.)	12	12	3+	4.0	North-West	Relatively New	NaN	2367.0	NaN	1	0	1	0	2	32

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Uppercase Letter

Other Punctuation

Space Separator

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Math Symbol

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category